The beacon identification using low pass filter for Physical Web based IoT services

• Published in: 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) pp. 354 - 358
• Main Authors: Lee, Byeong-uk, Im, Sun-young, Lee, Seung-woon, Kim, Bosung, Roh, Byeong-hee, Ko, Young-Bae
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.08.2015
• Subjects: Beacon; Beacon identification; Beacons; BLE; Broadcasting; Computer simulation; Conferences; Distance estimation; Internet; Internet of things; Low pass filter; Low pass filters; Physical web; Platforms; RSSI; Signal strength; Small area
• ISSN: 2154-5952
• DOI: 10.1109/PACRIM.2015.7334861

Various Internet of Things (IoT) Platforms are currently announced by major IT companies. Google also announced IoT open-sourced platform project which called as Physical Web. If Physical Web is released to the IoT marketplace, a number of beacons would be in demand because each service requires at least one beacon for connectivity. Small area which set multiple beacons are set up occur interference each other. So it should be considered to identify accurately which beacon broadcasts the signals. The device based on Physical Web identifies priority of beacons through distance using Received Signal Strength Indicator (RSSI). In this paper, we prove the limit of current beacon identification for Physical Web. Also we suggest the improvement of beacon identification using low pass filter in the small area. To verify that proposed idea is applicable in real life, we model the service called ALLFIT which is built with physical web in small area. Therefore, the proposed idea is expected to be a key role in IoT service architecture.